code: def parse_score(review):
      try:
          score_pair = review.split("\n")[0]
          score_pair = score_pair.replace(",", " ")
          sp = score_pair.split(" ")
          if len(sp) == 2:
              return [float(sp[0]), float(sp[1])]
          else:
              print("error", review)
              return [-1, -1]
      except Exception as e:
          print(e)
          print("error", review)
          return [-1, -1]
  
file_path: ml-ferret/ferret/eval/eval_gpt_review_3newclass.py
imports: import argparse
  import json
  import os
  import openai
  import time
  import re
  import pdb
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: parse_score(review) and returns: list, list, list